
201 - 500 Mitarbeiter
Gegründet 2017
🔧 Hardware
🤖 Künstliche Intelligenz
🏢 Unternehmen
Hardware • Artificial Intelligence • Enterprise
Agility Robotics ist ein führender Hersteller von mobilen Manipulationsrobotern, bekannt für ihren humanoiden Roboter Digit. Das Unternehmen konzentriert sich darauf, seine Roboter in kommerziellen Umgebungen, wie Materialhandlungsabläufen, einzusetzen, um die Produktivität in verschiedenen Branchen zu steigern, einschließlich Drittlogistik, Fertigung und Einzelhandel & E-Commerce. Mit ihrer innovativen Cloud-Automatisierungslösung Agility Arc bieten diese Roboter bahnbrechende Automatisierungslösungen. Agility Robotics zielt darauf ab, Arbeit zu revolutionieren, indem humanoide Roboter in Umgebungen integriert werden, in denen sinnvolle Arbeit und wirtschaftlicher Wert von entscheidender Bedeutung sind.
🕒 vor 4 Monaten
🗣️🇺🇸🇬🇧 Englisch erforderlich
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201 - 500 Mitarbeiter
Gegründet 2017
🔧 Hardware
🤖 Künstliche Intelligenz
🏢 Unternehmen
Hardware • Artificial Intelligence • Enterprise
Agility Robotics ist ein führender Hersteller von mobilen Manipulationsrobotern, bekannt für ihren humanoiden Roboter Digit. Das Unternehmen konzentriert sich darauf, seine Roboter in kommerziellen Umgebungen, wie Materialhandlungsabläufen, einzusetzen, um die Produktivität in verschiedenen Branchen zu steigern, einschließlich Drittlogistik, Fertigung und Einzelhandel & E-Commerce. Mit ihrer innovativen Cloud-Automatisierungslösung Agility Arc bieten diese Roboter bahnbrechende Automatisierungslösungen. Agility Robotics zielt darauf ab, Arbeit zu revolutionieren, indem humanoide Roboter in Umgebungen integriert werden, in denen sinnvolle Arbeit und wirtschaftlicher Wert von entscheidender Bedeutung sind.
• Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals. • Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding). • Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success. • Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines. • Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures. • Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise. • Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration. • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control. • Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment. • Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware. • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability. • Champion the existing team's talent and represent their needs to senior leadership. • Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers). • Lead recruitment, mentorship, and career development for all members of the AI team. • Manage the budget allocated for team salaries, equipment, and necessary infrastructure. • Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation. • Secure and allocate funding for specialized datasets and data annotation services. • Evaluate and procure necessary software licenses and tools for AI development and simulation. • Regularly report on expenditure and resource utilization to senior leadership.
• Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field. • Minimum of 8 years of experience in AI/ML, with at least 3 years in a senior leadership or directorial role. • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications. • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics. • Proven track record of managing significant technical budgets and scaling high-performance engineering and research teams. • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.
• 401(k) Plan: Includes a 6% company match. • Equity: Company stock options. • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. • Benefit Start Date: Eligible for benefits on your first day of employment. • Well-Being Support: Employee Assistance Program (EAP). • Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. • Time Off: Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. • Parental Leave: Generous paid parental leave programs. • Work Environment: A culture that supports flexible work arrangements. • Growth Opportunities: Professional development and tuition reimbursement programs. • Relocation Assistance: Provided for eligible roles.
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